Absorption and fluorescence of dissolved organic matter in the waters of the Canadian Arctic Archipelago, Baffin Bay, and the Labrador Sea
Bibliographic record
Abstract
The optical properties of dissolved organic matter (DOM) were investigated for the first time in the Canadian Arctic Archipelago (CAA), Baffin Bay (BB), and Labrador Sea (LS) as part of the International Polar Year Canada's Three Oceans project (C3O). The dynamics and composition of absorbing DOM (i.e., colored DOM, or CDOM) and fluorescent DOM (FDOM) were evaluated in several distinct water masses occupying the three regions: surface waters, Arctic outflow waters, West Greenland Intermediate waters (WGIW), upper Labrador Sea waters (uLSW), and Bottom Baffin Deep Water (BBDW). Four fluorescent components were identified by applying parallel factor analysis (PARAFAC) to 522 excitation emission matrix (EEM) spectra: three humic-like and one protein-like. The FDOM in surface waters of the CAA and BB differed considerably in character from those of the LS, with higher fluorescence intensity in the former. The fluorescence intensities of the two terrestrial humic-like components (C1 and C3) were linearly correlated with apparent oxygen utilization (AOU) in the CAA Arctic outflow and the WGIW whereas only humic-like C3 was significantly correlated with AOU in uLSW. These findings suggest that the humic-like components were produced in situ as organic matter was bio-oxidized. The slopes of the linear relationship between humic-like intensity and AOU were significantly greater in the WGIW relative to the Arctic outflow waters, which implies that FDOM in the Arctic-derived deeper layer was less prone to mineralization.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".